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21CSi has teamed with Oxnard, California-based TSI (Technical Security Integration, Inc) as its exclusive U.S. distribution partner for its Pace of the Game™ casino table game video analytics software. TSI is a major provider and integrator of leading-edge video security and surveillance products and services to the U.S. gaming industry.

Using recorded digital video from existing casino security cameras, Pace of the Game counts the number of games played and hands dealt per hour by a casino’s dealers to automate dealer audits and help casino operators determine and optimize table game productivity. TSI will distribute Pace of the Game to its customer base throughout the U.S.

In announcing the agreement, 21CSi CEO Dave Andersen said, “With the launching of our Pace of the Game application we’re bringing to the gaming industry a high-value dealer audit capability unique in the marketplace. We’re excited and pleased to be able to go to market and launch Pace of the Game with an agile, high-quality, customer-focused company like TSI.”

TSI CEO Craig “Swanny” Swankosky added, “I immediately recognized the value of this product for our gaming customers. Dealer audits are time consuming and typically a low priority on any Surveillance Director’s list. Pace of the Game automates this surveillance function and generates invaluable reports that can lead to increased dealer performance and improve the casino’s bottom line.”

The U.S. Missile Defense Agency (MDA) announced a Phase I Small Business Technology Transfer (STTR) award to 21CSi and its research partner, the University of Oklahoma. This is 21CSi’s 72nd overall SBIR award since its founding, and the first time OU and 21CSi have collaborated on an SBIR/STTR research project.

Called SHARE (Sensor Handoff via Advanced REasoning) Under Uncertainty, this STTR effort utilizes nested fusion loops that account for the feature data, applying uncertainty bounds to compare against previous information. SHARE Under Uncertainty, in essence, will play “20 questions” to ascertain how each new piece of data fits with the previous information to further reinforce or discount a track, allowing other possible tracks to be considered. Through examining sensor characteristics and systematically addressing uncertainties and biases, our research aims to be able to uncover common features usable to track targets as they cross sensor modalities. This handing over back and forth capability would allow a network of sensors – each with unique characteristics – to maintain object surveillance and greatly improve missile defense.